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David Biagioni
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2020 – today
- 2024
- [j10]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches. Eng. Appl. Artif. Intell. 133: 108498 (2024) - [i10]Sourabh Dalvi, David Biagioni, Muhammad Bashar Anwar, Gord Stephen, Bethany Frew:
Generation Expansion Equilibria with Predictive Dispatch Model. CoRR abs/2407.01715 (2024) - 2023
- [j9]Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & play directed evolution of proteins with gradient-based discrete MCMC. Mach. Learn. Sci. Technol. 4(2): 25014 (2023) - [c6]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CDC 2023: 2372-2378 - [i9]Patrick Emami, Xiangyu Zhang, David Biagioni, Ahmed S. Zamzam:
Non-Stationary Policy Learning for Multi-Timescale Multi-Agent Reinforcement Learning. CoRR abs/2307.08794 (2023) - 2022
- [j8]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. IEEE Control. Syst. Lett. 6: 1-6 (2022) - [j7]David Biagioni, Charles Edison Tripp, Struan Clark, Dmitry Duplyakin, Jeffrey N. Law, Peter C. St. John:
graphenv: a Python library for reinforcement learning on graph search spaces. J. Open Source Softw. 7(78): 4621 (2022) - [j6]Shree Sowndarya S. V., Jeffrey N. Law, Charles Edison Tripp, Dmitry Duplyakin, Erotokritos Skordilis, David Biagioni, Robert S. Paton, Peter C. St. John:
Multi-objective goal-directed optimization of de novo stable organic radicals for aqueous redox flow batteries. Nat. Mach. Intell. 4(8): 720-730 (2022) - [j5]Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni:
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. IEEE Trans. Intell. Transp. Syst. 23(8): 11903-11916 (2022) - [j4]Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni:
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid 13(3): 1976-1987 (2022) - [c5]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: a framework for multi-agent reinforcement learning in power systems. e-Energy 2022: 565-570 - [i8]David Biagioni, Xiangyu Zhang, Christiane Adcock, Michael N. Sinner, Peter A. Graf, Jennifer King:
From Model-Based to Model-Free: Learning Building Control for Demand Response. CoRR abs/2210.10203 (2022) - [i7]Patrick Emami, Aidan Perreault, Jeffrey N. Law, David Biagioni, Peter C. St. John:
Plug & Play Directed Evolution of Proteins with Gradient-based Discrete MCMC. CoRR abs/2212.09925 (2022) - 2021
- [j3]Xiangyu Zhang, Dave Biagioni, Mengmeng Cai, Peter A. Graf, Saifur Rahman:
An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning. IEEE Trans. Smart Grid 12(1): 420-431 (2021) - [c4]David Biagioni, Peter A. Graf, Xiangyu Zhang, Ahmed S. Zamzam, Kyri Baker, Jennifer King:
Learning-Accelerated ADMM for Distributed DC Optimal Power Flow. ACC 2021: 576-581 - [c3]Yi Hou, Xiangyu Zhang, Peter A. Graf, Charles Edison Tripp, David Biagioni:
A Cyber-Physical System for Freeway Ramp Meter Signal Control Using Deep Reinforcement Learning in a Connected Environment. ITSC 2021: 3813-3820 - [i6]Erotokritos Skordilis, Yi Hou, Charles Edison Tripp, Matthew Moniot, Peter A. Graf, David Biagioni:
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem. CoRR abs/2105.13284 (2021) - [i5]David J. Biagioni, Xiangyu Zhang, Peter A. Graf, Devon Sigler, Wesley B. Jones:
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters. CoRR abs/2111.04689 (2021) - [i4]David Biagioni, Xiangyu Zhang, Dylan Wald, Deepthi Vaidhynathan, Rohit Chintala, Jennifer King, Ahmed S. Zamzam:
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems. CoRR abs/2111.05969 (2021) - 2020
- [c2]Xiangyu Zhang, Dave Biagioni, Peter A. Graf, Jennifer King:
Cooperative Load Scheduling for Multiple Aggregators Using Hierarchical ADMM. ISGT 2020: 1-5 - [i3]Eric B. Jones, Eliot Kapit, Chin-Yao Chang, David Biagioni, Deepthi Vaidhynathan, Peter A. Graf, Wesley B. Jones:
On the Computational Viability of Quantum Optimization for PMU Placement. CoRR abs/2001.04489 (2020)
2010 – 2019
- 2019
- [c1]Peter A. Graf, Jennifer Annoni, Christopher J. Bay, David Biagioni, Devon Sigler, Monte Lunacek, Wesley B. Jones:
Distributed Reinforcement Learning with ADMM-RL. ACC 2019: 4159-4166 - [i2]Dave Biagioni, Peter A. Graf, Xiangyu Zhang, Jennifer King:
Learning-Accelerated ADMM for Distributed Optimal Power Flow. CoRR abs/1911.03019 (2019) - 2017
- [j2]Bryan Palmintier, Elaine T. Hale, Timothy M. Hansen, Wesley B. Jones, David Biagioni, Harry Sorensen, Hongyu Wu, Bri-Mathias S. Hodge:
IGMS: An Integrated ISO-to-Appliance Scale Grid Modeling System. IEEE Trans. Smart Grid 8(3): 1525-1534 (2017) - 2015
- [j1]David J. Biagioni, Daniel J. Beylkin, Gregory Beylkin:
Randomized interpolative decomposition of separated representations. J. Comput. Phys. 281: 116-134 (2015) - 2013
- [i1]David J. Biagioni, Daniel J. Beylkin, Gregory Beylkin:
On Rank Reduction of Separated Representations. CoRR abs/1306.5013 (2013)
Coauthor Index
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